Prediction and Analysis of Airport Surface Taxi Time: Classification, Features, and Methodology

Prediction and Analysis of Airport Surface Taxi Time: Classification, Features, and Methodology

Airport arrival and departure movements are characterized by high dynamism, stochasticity, and uncertainty. Therefore, it is of paramount importance to predict and analyze surface taxi time accurately and scientifically. This paper conducts a comprehensive review of existing studies on surface taxi...

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Bibliographic Details
Main Authors: Jianan Yin, Mingwei Zhang, Yuanyuan Ma, Wei Wu, He Li, Ping Chen
Format: Article
Language:English
Published: MDPI AG 2024-02-01
Series:Applied Sciences
Subjects:
airport surface
taxi time
predictive modeling
machine learning
review
Online Access:https://www.mdpi.com/2076-3417/14/3/1306

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